CN108648124A - A kind of smart city fire-fighting Internet of Things big data management system - Google Patents
A kind of smart city fire-fighting Internet of Things big data management system Download PDFInfo
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Abstract
A kind of smart city fire-fighting Internet of Things big data management system, is related to technical field of fire control.Include for acquiring the data gather computer structure of historical data and real time data, for carrying out machine learning to historical data and establishing the DPA data processing activity, the data analysis mechanism for fire probability to be analyzed real time data and made using prediction model and the data transmission mechanism for fire probability to be sent to client of prediction model.Historical data includes hardware information and fire record.Hardware information is included in different moments corresponding fire-fighting hardware history in the past and uses duration, fire-fighting hardware history maintenance condition and by the collected history fire alarm information of fire-fighting hardware.Fire record includes time, place and the reason that fire occurs.Real time data includes that fire-fighting hardware uses duration, fire-fighting hardware real-time servicing situation and by the collected real-time fire alarm information of fire-fighting hardware in real time.It can realize the integration management of fire protection sector, improve fire-fighting office efficiency and management intensity.
Description
Technical field
The present invention relates to technical field of fire control, in particular to a kind of smart city fire-fighting Internet of Things big data management
System.
Background technology
Currently, in technical field of fire control, remote monitoring system is used to plan and manage fire-fighting work.But it is existing
Remote monitoring system poor in timeliness, it is slow in reacting, fire-fighting reference data cannot be provided in time, be unfavorable for timely processing fire alarm and ask
Topic.And existing remote monitoring system operational efficiency is low, human cost and time cost are higher, be unfavorable for carrying out on a large scale and
Implement.
Invention content
The purpose of the present invention is to provide a kind of smart city fire-fighting Internet of Things big datas to manage system, can realize and disappear
The integration supervision and management of anti-industry improves the working efficiency of fire-fighting office, improves the management intensity of networking unit fire-fighting system.
Administrators at different levels can control fire-fighting operating status and fire information in real time, be changed into from the past for supervision center of gravity with key unit
The service that all places and building are carried out with comprehensive administration of the prevention and control, expands the scope of security against fire.The operating of system is imitated
Rate also greatly improves, and can provide the related data of fire probability in time, and fire wind is assessed in advance for fire fighting safety service
Danger provides reference, is conducive to cope with fire problem in advance.
What the embodiment of the present invention was realized in：
A kind of smart city fire-fighting Internet of Things big data management system comprising：For acquiring historical data and in real time number
According to data gather computer structure, for carrying out machine learning to historical data and establishing the DPA data processing activity of prediction model, be used for
The data analysis mechanism of fire probability is analyzed real time data and made using prediction model and is used for fire
Probability of happening is sent to the data transmission mechanism of customer group.
Wherein, historical data includes hardware information and fire record.It is corresponding that hardware information is included in different moments in the past
The history of fire-fighting hardware is believed using duration, the history maintenance condition of fire-fighting hardware and by the collected history fire alarm of fire-fighting hardware
Breath.Fire record includes time, place and the reason that fire occurs.Real time data include fire-fighting hardware in real time using duration,
The real-time servicing situation of fire-fighting hardware and by the collected real-time fire alarm information of fire-fighting hardware.
Data gather computer structure is with DPA data processing activity communication connection historical data is sent to DPA data processing activity.Data
Processing mechanism is with the communication connection of data analysis mechanism prediction model is sent to data analysis mechanism.Data gather computer structure is also same
The communication connection of data analysis mechanism by real time data to be sent to data analysis mechanism.Data analysis mechanism is the same as data transmission mechanism
Communication connection by fire probability to be sent to data transmission mechanism.
Further, DPA data processing activity using convolutional neural networks (Convolutional Neural Network,
CNN), Recognition with Recurrent Neural Network (Recurrent neural Network, RNN) or time recurrent neural network (Long Short-
Term Memory, LSTM) at least one of carry out machine learning.
Further, DPA data processing activity carries out machine learning using artificial intelligence learning system TensorFlow.
Further, historical data further includes weather history situation corresponding in different moments in past, and real time data is also wrapped
Include real-time weather situation.Weather history situation and real-time weather situation include temperature, air pressure, wind, humidity, cloud, precipitation, steaming
At least one of hair, visibility, radiation or sunshine.
Further, data gather computer structure is additionally operable to acquisition geography information, and geography information includes three-dimensional map, security against fire
At least one of unit distribution, the distribution of population heating power or fire water supply distribution.Data transmission mechanism is additionally operable to geography information
It is sent to customer group together with fire probability.
Further, data analysis mechanism is additionally operable to the fire probability corresponding to fire key unit into rower
Note.
Further, data gather computer structure includes：Duration, history maintenance condition, in real time use are used for typing history
The mobile end equipment of duration and real-time servicing situation and fire alarm for collecting history fire alarm information and real-time fire alarm information are believed
Cease transmitting device.
Further, fire alarm information transmitting device includes power supply, information collecting device, information processing unit and information transmission
Device.Information collecting device, information processing unit and information carrying means are electrically connected to a power source.Information collecting device is for adopting
Collect history fire alarm information and real-time fire alarm information.Information processing unit is communicated with information collecting device to be connected and for handling history
Fire alarm information and real-time fire alarm information.Information processing unit and communication network, which are communicated with information carrying means, to be connected, and information passes
Defeated device is used to through communication network transmit treated history fire alarm information and real-time fire alarm information to DPA data processing activity.Letter
Breath harvester includes device body and information acquisition device, and device body is equipped with carries out communication connection for same information acquisition device
Information interface, information interface include at least one of RS232 interface, RS485 interfaces, printer interface or switch interface.
Further, history fire alarm information and real-time fire alarm information include：Smoke Detection value, CO2 detected values, fire-fighting are hard
The working environment humidity of the Current Voltage detected value of part, the operating ambient temperature of fire-fighting hardware and fire-fighting hardware.
Further, history fire alarm information and real-time fire alarm information further include：Current Voltage detected value, the electricity of electrical equipment
The operating ambient temperature of gas equipment and the working environment humidity of electrical equipment.
The advantageous effect of the embodiment of the present invention is：
The data gather computer structure of smart city fire-fighting Internet of Things big data management system provided in an embodiment of the present invention will be adopted
The historical data collected is transmitted to DPA data processing activity, and carrying out machine training using historical data by Data Data processing mechanism learns
It practises, hardware information is with the relationship between fire record in searching historical data, by the data in hardware information with the generation of fire
Time, place and reason Corresponding matching, search out this input data of hardware information with fire record this output data it
Between relationship, establish the prediction model of fire.
Established prediction model will analyze source by one as a progress fire prediction early warning, by real time data
Input prediction model carries out fire disaster analyzing, to export the fire probability corresponding to the real time data.This fire occurs
Probability will be sent to customer group, especially security against fire unit by data transmission mechanism, be convenient for security against fire unit and phase
It closes administrative department and carries out safe investigation in advance, help to eliminate safe hidden trouble in advance.
It is high that fire-fighting Internet of Things big data in smart city manages running efficiency of system, have it is extraordinary perspective, based on real
When data, and combine historical data in fire occur mathematical logic, fire probability, Yi Jike can be provided perspectively
Time, place and the reason of energy.Fire-fighting Internet of Things big data in smart city, which manages system, to be had preferable perspective, is based on history
Mathematical logic can more accurately provide fire probability and distribution, be disposed in advance convenient for security against fire unit in advance
Or responding, accomplish to investigate in advance, eliminate and cope in time in advance, contributes to the accuracy for further increasing responding and validity,
Reduce false alarm rate and rate of failing to report.
In general, smart city fire-fighting Internet of Things big data management system provided in an embodiment of the present invention, which can be realized, disappears
The integration supervision and management of anti-industry improves the working efficiency of fire-fighting office, improves the management intensity of networking unit fire-fighting system.
Administrators at different levels can control fire-fighting operating status and fire information in real time, be changed into from the past for supervision center of gravity with key unit
The service that all places and building are carried out with comprehensive administration of the prevention and control, expands the scope of security against fire.The operating of system is imitated
Rate also greatly improves, and can provide the related data of fire probability in time, and fire wind is assessed in advance for fire fighting safety service
Danger provides reference, is conducive to cope with fire problem in advance.
Description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is that the fire alarm information in smart city fire-fighting Internet of Things big data management system provided in an embodiment of the present invention passes
The schematic diagram of defeated device；
Fig. 2 is that the fire alarm information in smart city fire-fighting Internet of Things big data management system provided in an embodiment of the present invention passes
The schematic diagram of the babinet of defeated device and the first visual angle of case lid；
Fig. 3 is the schematic diagram at the second visual angle of the babinet and case lid in Fig. 2；
Fig. 4 is the schematic diagram at the third visual angle of the babinet and case lid in Fig. 2；
Fig. 5 is the schematic diagram of the first geometrical clamp in the babinet in Fig. 4；
Fig. 6 is the schematic diagram of second of geometrical clamp in the babinet in Fig. 4.
Icon：1000- fire alarm information transmitting devices；100- power supplys；110- reserve batteries；200- information collecting devices；
300- information processing units；400- information carrying means；600- babinets；The inner cavities 610-；620- is open；630- bar shaped ventilation holes；
640- case lids；650- geometrical clamps；651- substrates；652- first baffles；653- second baffles.
Specific implementation mode
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.The present invention being usually described and illustrated herein in the accompanying drawings is implemented
The component of example can be arranged and be designed with a variety of different configurations.
Therefore, below the detailed description of the embodiment of the present invention to providing in the accompanying drawings be not intended to limit it is claimed
The scope of the present invention, but be merely representative of the present invention selected embodiment.Based on the embodiments of the present invention, this field is common
The every other embodiment that technical staff is obtained without creative efforts belongs to the model that the present invention protects
It encloses.
It should be noted that：Similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined, then it further need not be defined and explained in subsequent attached drawing in a attached drawing.
Term " first ", " second " etc. are only used for distinguishing description, are not understood to indicate or imply relative importance.
In addition, term " parallel ", " vertical " etc. are not offered as requiring component absolute parallel or vertical, but can slightly incline
Tiltedly.It is not to indicate that the structure has to put down completely if " parallel " refers to only that its direction is more parallel with respect to for " vertical "
Row, but can be slightly tilted.
In the description of the present invention, it is also necessary to which explanation is unless specifically defined or limited otherwise, term " setting ",
" installation ", " connected ", " connection " shall be understood in a broad sense, for example, it may be fixedly connected, may be a detachable connection or one
Connect to body；It can be directly connected, can also can be indirectly connected through an intermediary the connection inside two elements.
For the ordinary skill in the art, the concrete meaning of above-mentioned term in the present invention can be understood with concrete condition.
Embodiment
Fig. 1 is please referred to, the present embodiment provides a kind of smart city fire-fighting Internet of Things big datas to manage system, the smart city
Fire-fighting Internet of Things big data manages system：For acquire historical data and real time data data gather computer structure, for pair
Historical data carry out machine learning and establish prediction model DPA data processing activity, for using prediction model to real time data into
Row is analyzed and makes the data analysis mechanism of fire probability and for fire probability to be sent to customer group's
Data transmission mechanism.
Historical data includes hardware information and fire record.
The history that hardware information is included in different moments corresponding fire-fighting hardware in the past uses the history of duration, fire-fighting hardware
Maintenance condition and by the collected history fire alarm information of fire-fighting hardware.
Fire record includes time, place and the reason that fire occurs.
Real time data includes fire-fighting hardware in real time using duration, the real-time servicing situation of fire-fighting hardware and by fire-fighting hardware
Collected real-time fire alarm information.
Data gather computer structure is with DPA data processing activity communication connection historical data is sent to DPA data processing activity.Data
Processing mechanism is with the communication connection of data analysis mechanism prediction model is sent to data analysis mechanism.Data gather computer structure is also same
The communication connection of data analysis mechanism by real time data to be sent to data analysis mechanism.Data analysis mechanism is the same as data transmission mechanism
Communication connection by fire probability to be sent to data transmission mechanism.
Wherein, the hardware information in historical data is to be made of the data group of some row, and these data groups are in mistake
Different moments are gone to collect, each data group corresponds to a past particular moment, and includes in each data group
The corresponding moment collected fire-fighting hardware it is collected using duration, the maintenance condition of fire-fighting hardware and by fire-fighting hardware
Fire alarm information.
Similarly, fire record is also to be made of the data group of some row, and these data groups are also in past difference
It carves and collects, each data group corresponds to past particular moment, and when including corresponding in each data group
Carve time, place and the reason of institute's collected fire generation.
And real time data refers to then a data group corresponding to this particular moment for collecting these data, this number
According to group include the moment collected fire-fighting hardware using duration, the maintenance condition of fire-fighting hardware and by fire-fighting hardware
Collected fire alarm information.
It should be noted that by the maintenance using duration, fire-fighting hardware of the fire-fighting hardware of hardware information in historical data
Situation and by the collected fire alarm information of fire-fighting hardware be respectively designated as history use duration, history maintenance condition and history fire alarm
Information, and acquired by the fire-fighting hardware in real time data using duration, the maintenance condition of fire-fighting hardware and by fire-fighting hardware
To fire alarm information be named as in real time use duration, real-time servicing situation and real-time fire alarm information, it is only for by history number
A differentiation is carried out with the data information in real time data according to the data information of middle hardware information, is more convenient for being described, other
Similar content is similarly.
It should be noted that after real time data be used to analyze and make corresponding fire probability, count in real time
According to real-time and timeliness played out, this real time data has been converted to the number in one " past " in fact
According to i.e. real time data this real time data after it be used to analyze and make corresponding fire probability is just changed into fact
A new data group of hardware information in historical data, and this new data group will be used for amendment to prediction model
And optimization.At this point, real time data by by be newly collected into (being just collected into) " fire-fighting hardware using duration, fire-fighting hardware
Maintenance condition and by the collected fire alarm information of fire-fighting hardware " serve as.
It should be noted that fire-fighting hardware refers to fire-fighting hardware at the time of carrying out data acquisition using duration
The total duration of real work.The maintenance condition of fire-fighting hardware refers to the frequency of maintenance of the fire-fighting hardware when carrying out data acquisition.
The collected fire alarm information of fire-fighting hardware refers to the data detected by the fire-fighting hardware when carrying out data acquisition, such as：Cigarette
Mist, CO2, temperature.
Collected historical data is transmitted to DPA data processing activity by data gather computer structure, by Data Data processing mechanism profit
Machine training study is carried out with historical data, hardware information is with the relationship between fire record in searching historical data, by hardware
Data in information search out hardware information this input data with the time of origin of fire, place and reason Corresponding matching
The relationship between this output data is recorded with fire, establishes the prediction model of fire.
Established prediction model will analyze source by one as a progress fire prediction early warning, by real time data
Input prediction model carries out fire disaster analyzing, to export the fire probability corresponding to the real time data.This fire occurs
Probability will be sent to customer group, especially security against fire unit by data transmission mechanism, be convenient for security against fire unit and phase
It closes administrative department and carries out safe investigation in advance, help to eliminate safe hidden trouble in advance.
It is high that fire-fighting Internet of Things big data in smart city manages running efficiency of system, have it is extraordinary perspective, based on real
When data, and combine historical data in fire occur mathematical logic, fire probability, Yi Jike can be provided perspectively
Time, place and the reason of energy.Fire-fighting Internet of Things big data in smart city, which manages system, to be had preferable perspective, is based on history
Mathematical logic can more accurately provide fire probability and distribution, be disposed in advance convenient for security against fire unit in advance
Or responding, accomplish to investigate in advance, eliminate and cope in time in advance, contributes to the accuracy for further increasing responding and validity,
Reduce false alarm rate and rate of failing to report.
In general, smart city fire-fighting Internet of Things big data management system can realize the integration supervision of fire protection sector
Management improves the working efficiency of fire-fighting office, improves the management intensity of networking unit fire-fighting system.Administrators at different levels can be real-time
Fire-fighting operating status and fire information are controlled, is changed from the past in order to all places and building for supervision center of gravity with key unit
Object carries out the service of comprehensive administration of the prevention and control, expands the scope of security against fire.The running efficiency of system also greatly improves, Neng Gouji
When provide the related data of fire probability, assess fire risk in advance for fire fighting safety service and provide reference, be conducive to
Fire problem is coped in advance.
It further, can also be by the way that obtained fire probability be carried out descending sort, and by fire probability
It is mapped with corresponding place, building etc..The data that customer group receives will be at a time each place, building institute
Corresponding fire probability sequencing table contributes to security against fire unit to carry out emphasis row to the higher unit of fire probability
It looks into.
Further, an alarm ratio can also be set on the basis of fire probability sequencing table, such as is set
It is 5%, i.e., carries out emphasis alarm for preceding 5% place in sequencing table, building.Help to remind in time, emphasis reply.
By the design, smart city fire-fighting Internet of Things big data management system can accomplish the place to high risk, build
It builds and alarms, and the place of low-risk, building are then continued to monitor.Contribute to further increase security against fire list in this way
The rate of precision of position responding.Additionally it is possible in conjunction with alarm condition, emphasis rectification is carried out to related place, building, avoids mutually sympathizing with
Condition occurs again.
Meanwhile real time data can be subsequently modified and optimize to prediction model in reverse as new historical data,
With the continuous accumulation of historical data, the precision and reliability of prediction model will be promoted constantly, to fire probability
Prediction precision also can be higher and higher.Pass through the design so that smart city fire-fighting Internet of Things big data management system has
The ability of study and self-optimization, can adapt to continually changing external environment, makes it have higher use value.
Further, DPA data processing activity can select convolutional neural networks (Convolutional Neural
Network, CNN), Recognition with Recurrent Neural Network (Recurrent neural Network, RNN) and time recurrent neural network
One or more in (Long Short-Term Memory, LSTM) carry out machine learning, and DPA data processing activity then may be used
Specifically to carry out machine learning using artificial intelligence learning system TensorFlow.
Further, historical data further includes weather history situation corresponding in different moments in past, and real time data is also wrapped
Include real-time weather situation.Weather history situation and real-time weather situation include temperature, air pressure, wind, humidity, cloud, precipitation, steaming
At least one of hair, visibility, radiation or sunshine.
One of an important factor for due to weather condition and influencing fire generation, pass through the dependency number for acquiring weather condition
According to, and be used for the related data of weather condition to establish prediction model together, it can be in the mistake for carrying out fire probability prediction
Weather conditions are considered in journey so that the fire probability data gone out are more objective and accurate.
It is further possible to which weather condition binding fire probability is sent to customer group together, additionally it is possible to be
Security against fire unit provides responding reference.
Further, data gather computer structure is additionally operable to acquisition geography information, and geography information includes three-dimensional map, fire units
It is one or more in distribution, the distribution of population heating power and fire water supply distribution.Data transmission mechanism is additionally operable to connect geography information
It is sent to customer group with fire probability.
By the way that three-dimensional map, fire units distribution, the distribution of population heating power and fire water supply distribution are summarized, Neng Gouwei
The responding of security against fire unit and planning fire-fighting scheme provide reference, are convenient for quick and precisely responding, contribute to evacuation crowd, reduce
Fire damage.
Further, data analysis mechanism is additionally operable in sequencing table that the fire corresponding to fire key unit occurs general
Rate is marked.After emphasis monitoring unit is protruded label, the fire condition of unit is monitored to emphasis convenient for security against fire unit
Real-time control is carried out, the control and monitoring to key unit and monitoring promptness are helped to improve.
Further, data gather computer structure includes：Duration, history maintenance condition, in real time use are used for typing history
The mobile end equipment of duration and real-time servicing situation and fire alarm for collecting history fire alarm information and real-time fire alarm information are believed
Cease transmitting device.
Wherein, mobile end equipment can be carried on the ends app of mobile phone, can also be web terminal.Mobile end equipment is mainly used
In property typing fire-fighting hardware using duration and the related data whether worked normally, and it is used for maintenance staff's typing fire-fighting
The related datas such as Wei Xiu, the replacement of hardware.Fire alarm information transmitting device is mainly used for collecting the monitoring data of fire-fighting hardware, example
Such as：Voltage, electric current, smog, temperature, CO2 etc..
Further, the real-time fire alarm information in the history fire alarm information and real time data in the hardware information of historical data
Include：Smoke Detection value, CO2 detected values, the Current Voltage detected value of fire-fighting hardware, fire-fighting hardware operating ambient temperature,
The working environment humidity of fire-fighting hardware, the Current Voltage detected value of electrical equipment, the operating ambient temperature of electrical equipment and electrical
Working environment humidity of equipment etc..To the hardware facility in place, building more fully monitor and test, further increase
The reliability and accuracy of prediction model make the monitoring of smart city fire-fighting Internet of Things big data management system arrive more comprehensively
Position, makes the accuracy of the fire probability finally obtained further increase, but also the stability and authenticity of prediction model
Higher.
Further, referring to Fig. 1, the present embodiment also provides a kind of above-mentioned fire alarm information transmitting device 1000.Fire alarm
Information carrying means 1000 includes：Power supply 100, information collecting device 200, information processing unit 300 and information carrying means
400.Information collecting device 200, information processing unit 300 and information carrying means 400 are electrically connected with power supply 100.Information is adopted
Acquisition means 200 are for acquiring history fire alarm information and real-time fire alarm information.Information processing unit 300 is the same as information collecting device 200
Communication connects and for handling history fire alarm information and real-time fire alarm information.Information processing unit 300 and communication network with letter
The communication connection of transmitting device 400 is ceased, information carrying means 400 is used for will treated history fire alarm information and real-time fire alarm information
It is transmitted to DPA data processing activity through communication network.
Information collecting device 200 includes device body and information acquisition device, and device body, which is equipped with, is used for same information acquisition device
The information interface of communication connection is carried out, information interface includes RS232 interface, RS485 interfaces, printer interface or switch interface
At least one of.
Fire alarm information transmitting device 1000 can accordingly be gone through using the information acquisition device of information collecting device 200 to collect
History fire alarm information and real-time fire alarm information, the history fire alarm information and real-time fire alarm information collected by information acquisition device are through letter
After breath interface is transmitted to device body, all summarizes to information processing unit 300 and carry out data processing.History fire alarm that treated
Information and real-time fire alarm information are finally transmitted to communication network by information carrying means 400, so by communication network conduct to
DPA data processing activity, to make history fire alarm information and real-time fire alarm information participate in and establish prediction model.
Fire alarm information transmitting device 1000 can carry out the automatic collection to history fire alarm information and real-time fire alarm information.Fire
Alert information carrying means 1000 is easy to use, and is not necessarily to manually carry out fire alarm information collection and fire condition detection to scene, greatly
It is big to save manpower consuming.
Further, in the present embodiment, information interface includes RS232 interface, RS485 interfaces, printer interface and opens
Measure interface in pass.By the design, device body can connect the information acquisition device with multiple types interface, information can be made to adopt
Acquisition means 200 acquire a plurality of types of fire alarm informations simultaneously, help to acquire fire alarm information more fully hereinafter, more fully react
Fire condition keeps collected history fire alarm information and real-time fire alarm information more comprehensive, and the prediction model of foundation also more may be used
It leans on.
Further, communication network is telephone network or internet.Information carrying means 400 will be from information processing unit
The 300 history fire alarm informations that receive that treated and real-time fire alarm information are by telephone network or internet to data processor
Structure is transmitted.
Further, in the present embodiment, information processing unit 300 is substantially carried out the arrangement of fire alarm information, classification, standby
Part, and treated history fire alarm information and real-time fire alarm information are transmitted to information carrying means 400.It is alternatively possible to sharp
Data classification is carried out with KNN algorithms.
Further, information processing unit 300 also has the information display for the fire alarm information after display processing, with
Convenient for checking fire alarm information on the spot.
Further, Fig. 2~4 are please referred to, fire alarm information transmitting device 1000 further includes babinet 600 and case lid 640, babinet
600 are removably attachable to babinet 600 and for sealing with inner cavity 610 and the opening 620 being connected to inner cavity 610, case lid 640
Make and break mouth 620.The opposite sides of babinet 600 offers multiple bar shaped ventilation holes 630 of the connection of same inner cavity 610, multiple bar shapeds
Ventilation hole 630 is arranged in parallel.Power supply 100, information collecting device 200, information processing unit 300 and information carrying means 400 are equal
Set on inner cavity 610.
Further, Fig. 5 is please referred to, there is power supply 100 reserve battery 110, babinet 600 to have for fixing reserve battery
110 multiple geometrical clamps 650.Geometrical clamp 650 includes substrate 651 and first baffle 652, and first baffle 652 is perpendicular to substrate 651
Setting, substrate 651 are connected to the inner wall of babinet 600.Reserve battery 110 is set to inner cavity 610, and multiple geometrical clamps 650 are set to spare
The opposite sides of battery 110 is so that reserve battery 110 is held between multiple first baffles 652.
Further, in the present embodiment, geometrical clamp 650 is four, and four geometrical clamps 650 are located at reserve battery
Two geometrical clamps 650 are arranged per side for 110 both sides.Fig. 6 is please referred to, one of four geometrical clamps 650 further include for preventing
Reserve battery 110 is connected to first baffle from the second baffle 653 skidded off between multiple first baffles 652, second baffle 653
652, second baffle 653 is arranged both perpendicular to first baffle 652 and substrate 651.By the design, can greatly improve spare
The stability of battery 110.
Further, when installation casing 600, damping cushion rubber is set.
It can collect fire alarm information and carry out processing and summarizes fire alarm information transmitting device 1000 automatically, and realize multiple types
Data summarize and uniformly, help to carry out comprehensive collection to history fire alarm information and real-time fire alarm information, further increase pre-
Survey the reliability of model.It is easy to use, save manpower.
It should be noted that smart city fire-fighting Internet of Things big data management system users group includes：Security against fire list
Position, Tenement, owner, maintenance unit, financial industry (insurance, bank), decision of the senior level person etc..
For security against fire unit, the promptness and accuracy of its responding can be improved, helps to investigate in advance
Except security risk, the control and monitoring to fire-fighting safety problem are improved, improve the management quality to local security against fire.
For Tenement, help that property personnel is reminded in time to report relevant device facility for repairment, it is ensured that set
Standby facility is normally and safely run, and is removed a hidden danger in advance, contains that fire alarm occurs to a certain extent.
For owner, help to understand fire safety situation in real time, in time to household interlock circuit installations and facilities into
Row reports for repairment, and can carry out early warning to that may send out existing the condition of a disaster, it is ensured that personal safety as well as the property safety.
For maintenance unit, maintenance staff are contributed to understand the operating condition of installations and facilities in time, in time to failure
Installations and facilities are maintained or replaced, it is ensured that the normal operation of installations and facilities.In addition, by the frequency of maintenance to installations and facilities into
Row analysis is compared, and certain quality classification can be carried out to installations and facilities supplier, convenient for selecting more excellent equipment supply
Quotient.
For financial industry (insurance, bank etc.), help more fully to comment fixed assets progress quality safety
Estimate, determines assets value.
For decision of the senior level person, reference can be provided to formulate further planning and strategy, contribute to it is more objective,
More fully carry out situation control.
In conclusion smart city fire-fighting Internet of Things big data management system can realize the integration supervision of fire protection sector
Management improves the working efficiency of fire-fighting office, improves the management intensity of networking unit fire-fighting system.Administrators at different levels can be real-time
Fire-fighting operating status and fire information are controlled, is changed from the past in order to all places and building for supervision center of gravity with key unit
Object carries out the service of comprehensive administration of the prevention and control, expands the scope of security against fire.The running efficiency of system also greatly improves, Neng Gouji
When provide the related data of fire probability, assess fire risk in advance for fire fighting safety service and provide reference, be conducive to
Fire problem is coped in advance.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, any made by repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of smart city fire-fighting Internet of Things big data manages system, which is characterized in that including：
Data gather computer structure for acquiring historical data and real time data；
For carrying out machine learning to the historical data and establishing the DPA data processing activity of prediction model；
Data analysis machine for fire probability to be analyzed the real time data and made using the prediction model
Structure；And
Data transmission mechanism for the fire probability to be sent to customer group；
Wherein, the historical data includes hardware information and fire record；The hardware information is included in different moments pair in the past
The history for the fire-fighting hardware answered uses duration, the history maintenance condition of the fire-fighting hardware and collected by the fire-fighting hardware
History fire alarm information；The fire record includes time, place and the reason that fire occurs；The real time data includes described disappears
Anti- hardware uses duration, the real-time servicing situation of the fire-fighting hardware and by the collected real-time fire of the fire-fighting hardware in real time
Alert information；
The data gather computer structure is with DPA data processing activity communication connection the historical data is sent to the data
Processing mechanism；The DPA data processing activity is described the prediction model to be sent to data analysis mechanism communication connection
Data analysis mechanism；The data gather computer structure is also with data analysis mechanism communication connection to send the real time data
To the data analysis mechanism；The data analysis mechanism is with data transmission mechanism communication connection the fire occurs
Probability is sent to the data transmission mechanism.
2. fire-fighting Internet of Things big data in smart city according to claim 1 manages system, which is characterized in that the data
Processing mechanism utilizes convolutional neural networks (Convolutional Neural Network, CNN), Recognition with Recurrent Neural Network
(Recurrent neural Network, RNN) or time recurrent neural network (Long Short-Term Memory, LSTM)
At least one of carry out the machine learning.
3. fire-fighting Internet of Things big data in smart city according to claim 1 or 2 manages system, which is characterized in that described
DPA data processing activity carries out the machine learning using artificial intelligence learning system TensorFlow.
4. fire-fighting Internet of Things big data in smart city according to claim 1 manages system, which is characterized in that the history
Data further include weather history situation corresponding in different moments in past, and the real time data further includes real-time weather situation；Institute
State weather history situation and the real-time weather situation include temperature, air pressure, wind, humidity, cloud, precipitation, evaporation, visibility,
At least one of radiation or sunshine.
5. fire-fighting Internet of Things big data in smart city according to claim 1 manages system, which is characterized in that the data
Collecting mechanism is additionally operable to acquisition geography information, and the geography information includes three-dimensional map, the distribution of security against fire unit, population heating power
At least one of distribution or fire water supply distribution；The data transmission mechanism is additionally operable to the geography information together with the fire
Calamity probability of happening is sent to the customer group.
6. fire-fighting Internet of Things big data in smart city according to claim 1 manages system, which is characterized in that the data
Analysis institution is additionally operable to that the fire probability corresponding to fire key unit is marked.
7. fire-fighting Internet of Things big data in smart city according to claim 1 manages system, which is characterized in that the data
Collecting mechanism includes：
Duration, the history maintenance condition, real-time use duration and the real-time servicing are used for history described in typing
The mobile end equipment of situation；And
Fire alarm information transmitting device for collecting the history fire alarm information and the real-time fire alarm information.
8. fire-fighting Internet of Things big data in smart city according to claim 7 manages system, which is characterized in that the fire alarm
Information carrying means includes power supply, information collecting device, information processing unit and information carrying means；Described information acquisition dress
Set, described information processing unit and described information transmitting device with the power electric connection；Described information harvester is used for
Acquire the history fire alarm information and the real-time fire alarm information；Described information processing unit is communicated with described information harvester
It connects and is used to handle the history fire alarm information and the real-time fire alarm information；Described information processing unit and communication network are equal
It communicates and connects with described information transmitting device, described information transmitting device is used for will treated the history fire alarm information and institute
Real-time fire alarm information is stated to transmit to the DPA data processing activity through the communication network；
Described information harvester includes device body and information acquisition device, and described device ontology is equipped with and is adopted for same described information
Storage carries out the information interface of communication connection, and described information interface includes RS232 interface, RS485 interfaces, printer interface or opens
Measure at least one of interface in pass.
9. fire-fighting Internet of Things big data in smart city according to claim 1 manages system, which is characterized in that the history
Fire alarm information and the real-time fire alarm information include：Smoke Detection value, CO2The Current Voltage of detected value, the fire-fighting hardware
Detected value, the fire-fighting hardware operating ambient temperature and the fire-fighting hardware working environment humidity.
10. fire-fighting Internet of Things big data in smart city according to claim 9 manages system, which is characterized in that described to go through
History fire alarm information and the real-time fire alarm information further include：The Current Voltage detected value of electrical equipment, the work of the electrical equipment
Make environment temperature and the working environment humidity of the electrical equipment.
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| CN109657916A (en) * | 2018-11-19 | 2019-04-19 | 深圳市中电数通智慧安全科技股份有限公司 | A kind of Fire risk assessment method, device and server |
| CN109993950A (en) * | 2019-04-14 | 2019-07-09 | 杭州拓深科技有限公司 | A kind of big data fire prediction method based on fire protection warning equipment |
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| CN109657916A (en) * | 2018-11-19 | 2019-04-19 | 深圳市中电数通智慧安全科技股份有限公司 | A kind of Fire risk assessment method, device and server |
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| CN110237477A (en) * | 2019-01-25 | 2019-09-17 | 江苏沃德渥机电科技有限公司 | A kind of firefighting monitoring system based on artificial intelligence |
| CN110047025A (en) * | 2019-03-11 | 2019-07-23 | 特斯联（北京）科技有限公司 | A kind of community security protection method and system for planning based on big data |
| CN109993950A (en) * | 2019-04-14 | 2019-07-09 | 杭州拓深科技有限公司 | A kind of big data fire prediction method based on fire protection warning equipment |
| CN109993950B (en) * | 2019-04-14 | 2022-02-18 | 杭州拓深科技有限公司 | Big data fire prediction method based on fire alarm equipment |
| CN110070690A (en) * | 2019-05-13 | 2019-07-30 | 上海荷福人工智能科技（集团）有限公司 | A kind of intelligent fire grading forewarning system method and system based on deep learning |
| CN110070690B (en) * | 2019-05-13 | 2021-11-23 | 上海荷福人工智能科技（集团）有限公司 | Intelligent fire fighting classification early warning method and system based on deep learning |
| CN110046837A (en) * | 2019-05-20 | 2019-07-23 | 北京唐芯物联网科技有限公司 | A kind of fire management system based on artificial intelligence |
| CN110309961A (en) * | 2019-06-20 | 2019-10-08 | 京东城市(北京)数字科技有限公司 | Fire alarm method and apparatus |
| CN110414736A (en) * | 2019-07-30 | 2019-11-05 | 浙江长元科技有限公司 | A kind of wisdom fire-fighting safety predicting method and system based on Internet of Things |
| US11477230B2 (en) | 2020-03-16 | 2022-10-18 | International Business Machines Corporation | Home automation risk assessment and mitigation via machine learning |
| CN111523740A (en) * | 2020-07-06 | 2020-08-11 | 和宇健康科技股份有限公司 | Service resource information prediction method based on big data acquisition and computer equipment |
| CN111523740B (en) * | 2020-07-06 | 2020-10-09 | 和宇健康科技股份有限公司 | Service resource information prediction method based on big data acquisition and computer equipment |
| CN111882809A (en) * | 2020-07-21 | 2020-11-03 | 重庆现代建筑产业发展研究院 | Method and system for guaranteeing fire safety of residential area based on Internet of things |
| CN112233360A (en) * | 2020-09-27 | 2021-01-15 | 广西安讯科技股份有限公司 | Electrical fire early warning method and server based on data modeling |
| CN112415941A (en) * | 2020-10-16 | 2021-02-26 | 福建省永正工程质量检测有限公司 | Smart city building safety information management system based on big data system and application |
| CN112468895A (en) * | 2020-10-16 | 2021-03-09 | 福建省永正工程质量检测有限公司 | Building structure intelligent monitoring system and method based on Internet of things and big data |
| CN112468895B (en) * | 2020-10-16 | 2023-05-23 | 福建省永正工程质量检测有限公司 | Intelligent building structure monitoring system and method based on Internet of things and big data |
| CN113159532A (en) * | 2021-04-01 | 2021-07-23 | 兰州天泉信息科技有限公司 | Intelligent fire-fighting command system-oriented auxiliary decision-making key technology |
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Application publication date: 20181012 |